Sr. Manager, AI/ML Engineering (Digital Experience)- Remote
About The Position
As a Senior Manager of AI/ML Engineering within Optum Technology, you will lead high-performing engineering teams in building, scaling, and operationalizing artificial intelligence and machine learning solutions across the enterprise. You will drive strategic technical initiatives, apply modern MLOps practices, and foster responsible AI innovation to address complex healthcare challenges. The role emphasizes designing and deploying AI-powered solutions, establishing scalable engineering practices, and delivering business value in collaboration with technical and business partners. The role is remote for employees working from anywhere in the U.S., except hires in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must follow UnitedHealth Group’s Telecommuter Policy. The position’s annual salary range is $148,900–$255,300 based on full-time employment. Benefits and incentives are subject to eligibility requirements.
Requirements
- At least 8 years of experience in software engineering, data engineering, or machine learning engineering.
- At least 5 years of hands-on experience developing, scaling, and deploying machine learning models or AI solutions in production environments.
- At least 3 years of technical leadership or direct people management experience driving engineering deliverables.
- At least 3 years of experience with cloud platforms such as AWS, Azure, or GCP, and cloud-native AI/ML frameworks or architectures.
- At least 3 years of experience implementing MLOps frameworks, automated CI/CD pipelines, and model monitoring tools.
Nice To Haves
- Master’s or Ph.D. degree in Computer Science, Data Science, Machine Learning, Data Analytics, or a related technical field.
- A proven track record of operationalizing Generative AI, Large Language Models (LLMs), or advanced deep learning architectures.
- Experience in healthcare technology, HIPAA compliance, or working with complex healthcare datasets.
- Knowledge of responsible AI frameworks, bias mitigation, and model governance practices.
- Excellent communication and stakeholder management skills, including experience articulating technical concepts to non-technical executives.
Responsibilities
- Design, develop, and deploy AI-powered solutions for complex business challenges, emphasizing responsible use of AI.
- Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement.
- Evaluate emerging trends to inform solution design and strategic innovation.
- Lead and manage engineering teams responsible for designing, implementing, and maintaining scalable AI/ML pipelines, models, and platforms.
- Establish MLOps best practices for model deployment, monitoring, continuous integration, and performance tuning at enterprise scale.
- Partner with cross-functional technical leaders, product managers, and business stakeholders to define technical roadmaps and deliver business value.
- Mentor, coach, and support team members’ professional growth while advocating for architectural quality and engineering excellence.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs, subject to eligibility requirements.
- Equity stock purchase, subject to eligibility requirements.
- 401(k) contribution, subject to eligibility requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
